# Spark Logging Framework

A lightweight, flexible logging system for Spark Social with multiple outputs and log levels.

## Features
- 6 log levels: verbose, debug, info, warning, error, fatal
- Console and file outputs
- Automatic stack traces
- Color-coded console logs
- File rotation

## Basic Usage

```dart
// Get a logger
final logger = GetIt.instance<LogService>().getLogger('MyFeature');

// Log at different levels
logger.v('Verbose message');
logger.d('Debug message');
logger.i('Info message');
logger.w('Warning message');
logger.e('Error message', error: exception, stackTrace: stackTrace);
logger.f('Fatal message');
```

## Predefined Loggers

```dart
final logService = GetIt.instance<LogService>();

// Use predefined loggers
logService.appLogger.i('Application message');
logService.networkLogger.d('Network operation');
logService.uiLogger.w('UI warning');
```

## Configure Log Levels

```dart
// Set minimum log level
LoggerFactory.setGlobalLogLevel(LogLevel.warning); // production
LoggerFactory.setGlobalLogLevel(LogLevel.debug);   // development
```

## Log Levels

- **VERBOSE**: Detailed debugging information
- **DEBUG**: Debugging information
- **INFO**: General application flow
- **WARNING**: Potential issues
- **ERROR**: Errors that impact functionality
- **FATAL**: Critical errors
- **NOTHING**: Special level to suppress logs